rycolab / differentiable-subset-pruning

Related projects ⓘ

Alternatives and complementary repositories for differentiable-subset-pruning

• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆72Updated 3 years ago
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆93Updated last year
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆43Updated last year
• Shark-NLP / CAB
  ☆30Updated last year
• Noahs-ARK / RFA
  ☆32Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆138Updated 2 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆61Updated 3 years ago
• jungokasai / deep-shallow
  ☆42Updated 4 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆64Updated 3 years ago
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆29Updated 2 years ago
• ptlmasking / maskbert
  ☆20Updated 3 years ago
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆78Updated 3 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆71Updated 2 years ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆41Updated 2 years ago
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆17Updated 2 years ago
• ictnlp / Seq-NAT
  Source code for <Sequence-Level Training for Non-Autoregressive Neural Machine Translation>.
  ☆23Updated 2 years ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆191Updated last year
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆59Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆69Updated last year
• GeneZC / MiniMoE
  Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"
  ☆28Updated last year
• sai-prasanna / bert-experiments
  ☆19Updated 4 years ago
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆42Updated 2 years ago
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆64Updated last year
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆38Updated 3 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆56Updated 2 years ago
• gorokoba560 / norm-analysis-of-transformer
  ☆77Updated 7 months ago
• llyx97 / TAMT
  [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Pe…
  ☆15Updated 2 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 years ago
• sanagno / adaptively_sparse_attention
  ☆17Updated last year